gemma7b-summarize-gemini1_5flash-2k
This model is a fine-tuned version of google/gemma-7b on the llama-duo/synth_summarize_dataset_dedup dataset. It achieves the following results on the evaluation set:
- Loss: 7.7045
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 49.7965 | 0.8571 | 3 | 15.4869 |
| 39.0892 | 2.0 | 7 | 12.5338 |
| 23.1465 | 2.8571 | 10 | 10.1182 |
| 23.1465 | 4.0 | 14 | 8.4587 |
| 19.7449 | 4.8571 | 17 | 8.0612 |
| 18.8693 | 6.0 | 21 | 7.8270 |
| 18.8693 | 6.8571 | 24 | 7.7329 |
| 18.4335 | 8.0 | 28 | 7.6986 |
| 18.2424 | 8.5714 | 30 | 7.7045 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
google/gemma-7b